PhD, Mathematics, Rockefeller University

Interests:

I develop brain models of vision and visual object recognition;
audition, speech, and language; development; attentive learning
and memory; cognitive information processing and social cognition;
reinforcement learning and motivation; cognitive-emotional
interactions; navigation; sensory-motor control and robotics; and
mental disorders. These models involve many parts of the brain,
ranging from perception to action, and multiple levels of brain
organization, ranging from individual spikes and their
synchronization to cognition. Many of these projects are done in
collaborations with PhD students, postdoctoral fellows, and
faculty. I also collaborate with experimentalist colleagues to
design experiments to test theoretical predictions and fill
conceptually important gaps in the experimental literature, carry
out analyses of the mathematical dynamics of neural systems, and
transfer biological neural models to applications in neuromorphic
engineering and technology.

Serial Order in Behavior: Unifying Acoustic Meaning and Rhythm in
Audition, Speech, and Music.
Lecture at Centre for Music and Science, Faculty of Music,
University of Cambridge, 9-11-15: https://www.youtube.com/watch?v=Gx11OR07-Ys

Grossberg,
S. (2017). The visual world as illusion: The ones we know and
the ones we don't. In Oxford Compendium of Visual
Illusions. A. Shapiro and D. Todorovic, Eds. Oxford,
United Kingdom: Oxford University press, Chapter 7, pp.
90-118. (Chapter7.pdf)

Fang, L. and Grossberg, S. (2009) From stereogram to surface:
How the brain sees the world in depth. Spatial Vision,
22, 45-82, special issue "Unresolved
Questions in Stereopsis". Available in PDF (FanGro2007FromStereoSV.pdf)
(831Kb)

Grossberg, S. (2009). Cortical and subcortical
predictive dynamics and learning during perception, cognition,
emotion, and action. Philosophical Transactions of the
Royal Society of London, special issue "Predictions in
the brain: Using our past to generate a future", 364,
1223-1234. Available in PDF (GroRoySoc2009.pdf)
(314 Kb).

Gorchetchnikov, A. and Grossberg, S. (2007).
Space, time, and learning in the hippocampus: How fine spatial
and temporal scales are expanded into population codes for
behavioral control. Neural Networks, 20(2):182-93
. Available in PDF (GorGro06NN.pdf)(1046Kb).

Pinna, B. and Grossberg,
S. (2005). The watercolor illusion and neon color spreading: A
unified analysis of new cases and neural mechanisms. Journal
of the Optical Society of America A, 22,
2207-2221. Available in PDF (PinGro2005JOSA.pdf)(876Kb).

The TELOS simulation code is released under the terms of
the GNU General Public License version 3. See http://ccsrv1.psych.indiana.edu/cclab/images/cclab_files/telos_gpl.tar.gz . The
code is provided as-is for information purposes only. It
was developed on legacy systems, is mostly undocumented, and
will most likely not compile on current generation systems
without significant reworking.

Grossberg, S. and Repin, D. (2003) A neural model of how the
brain represents and compares multi-digit numbers: spatial and
categorical processes. Neural Networks, 16,
1107-1140. Available in PDF (GroRep2003NN.pdf)(1.07Mb)

Grossberg, S. and Seitz, A. (2003). Laminar development of
receptive fields, maps, and columns in visual cortex: The
coordinating role of the subplate. Cerebral Cortex, 13,
852-863. Preliminary version appears as Boston University
Technical Report, CAS/CNS-TR-02-006. Available in PDF (SeitzGrossbergCerCor.pdf)(5.85Mb)

Raizada, R. and Grossberg, S. (2003). Towards a theory of the
laminar architecture of cerebral cortex: Computational clues
from the visual system. Cerebral Cortex, 13,
100-113. Preliminary version appears as Boston University
Technical Report, CAS/CNS-TR-2001-12. Available in PDF (RaiGro03CerCor.pdf)(293Kb)

Grossberg, G. and Williamson, J.R.
(2001). A neural model of how horizontal and interlaminar
connections of visual cortex develop into adult circuits that
carry out perceptual groupings and learning. Cerebral
Cortex,11, 37-58. On-line version available
from Cerebral Cortex
(GroWil2000.pdf) (499Kb) in PDF format.

Pack, C., Grossberg, S. and Mingolla, E.
(2001). A neural model of smooth pursuit control and motion
perception by cortical area MST. Journal of Cognitive
Neuroscience, 13, 102-120.
Preliminary version appears as Boston University Technical
Report, CAS/CNS-TR-99-023. Available in
HTML (PacGroMin.JCN00.html)
(89Kb), PDF
(PacGroMin.JCN00.pdf) (172Kb), or in Gzipped Postscript
(PacGroMin.JCN00.ps.gz)(452Kb).

Raizada, R. and Grossberg, S. (2001).
Context-sensitive bindings by the laminar circuits of V1 and
V2: A unified model of perceptual grouping, attention, and
orientation contrast. Visual Cognition, 8, 431-466.
Preliminary version appears as Boston University Technical
Report, CAS/CNS-TR-2000-008. Available in
PDF
(RaiGro01.pdf) (197Kb) and G'zipped Postscript
(RaiGro01.ps.gz) (441Kb). Mac browsers may have
difficulty with the equations but the document should print
properly.

Grossberg, S. (2000). How hallucinations
may arise from brain mechanisms of learning, attention, and
volition. Invited article for the Journal of the
International Neuropsychological Society, 6,
579-588. Preliminary version appears as Boston University
Technical Report,CAS/CNS-TR-99-020.
Available in HTML,
Gro99.hall.html PDF
Gro99.hall.pdf (6.7Mb), and Gzipped postscript
Gro99.hall.ps.gz (4.9Mb).

Grossberg, S. (2000). Linking mind to
brain: The mathematics of biological intelligence. Notices
of the American Mathematical Society,47,
1361-1372. Preliminary version appears as Boston University
Technical Report,CAS/CNS-TR-2000-016.
Available in HTML
Gro00.AMS.html (126Kb) and PDF
Gro00.AMS.pdf (112Kb).

Grossberg, S., Mingolla, E., and Pack,
C. (1999). A neural model of motion processing and visual
navigation by cortical area MST. Cerebral Cortex,
9, 878-895. Available in HTML
GroMinPac99.html. Available in PDF
GroMinPac99.pdf, and available in gzip'ed postscript
GroMinPac99.ps.gz (1,125Kb).

Mingolla, E., Ross, W., and Grossberg,
S. (1999). A neural network for enhancing boundaries and
surfaces in synthetic aperture radar images. Neural
Networks,12, 499-511. Preliminary version
appears as Boston University Technical Report,
CAS/CNS-TR-98-032. Note: This paper is difficult to
download due to the large size of the figure file. Send mail
requests to
amos@cns.bu.edu for a paper copy. Available in PDF (MinRosGro1999NeuNet.pdf)(5,027Kb).
To download only the paper
MinRosGro99.ps.gz(55Kb). To download the figures as a
separate large file
MinRosGro99.figs.ps.gz(2,998Kb).

Grossberg, S. and Williamson, J.R.
(1999). A self-organizing neural system for learning to
recognize textured scenes. Vision Research,
39, 1385-1406. Preliminary version appears as Boston
University Technical Report, CAS/CNS-TR-97-001.
Available in PDF
(GroWil99.pdf) or in Gzipped Postscript
GroWil99.ps.gz(1.2Mb).

Gancarz, G. and
Grossberg, G. (1998). A neural model of the saccade generator
in the reticular formation. Neural Networks,
11, 1159-1174. Preliminary version appears as Boston
University Technical Report,CAS/CNS-TR-98-014.
Available in PDF (GanGroNN1998.pdf)(349Kb)
and in gzip'ed postscript (GanGro1998NN.ps.gz)(194KB).

Olson, S. and Grossberg, S. (1998). A
neural network model for the development of simple and complex
cell receptive fields within cortical maps of orientation and
ocular dominance. Neural Networks, 11,
189-208. Available in PDF OlsonGro1998NN.pdf
(5.47Mb).

Grossberg, S., Mingolla, E., and Ross,
W.D. (1997). Visual brain and visual perception: How does the
cortex do perceptual grouping? Trends in Neurosciences,20, 106-111 Available in PDF (GroMinRoss97.pdf)(176Kb).

Grossberg, S. (1995). The attentive
brain. Invited article for American Scientist,83,
438-449. Preliminary version appears as Boston University
Technical Report CAS/CNS-TR-95-012. Available in PDF
(groASAttBra1995.pdf)(1.24Mb) and in Gzipped Postscript
(Gro96.ps.gz)(252Kb).

Grossberg, S. (1984). Some
psychophysiological and pharmacological correlates of a
developmental, cognitive, and motivational theory. In R.
Karrer, J. Cohen, and P. Tueting (Eds.), Brain and
information: Event related potentials . New York :
New York Academy of Sciences, pp.58-142. Available in PDF (Gro1984NYAcademy.pdf)(18,372Kb).

Grossberg, S. (1983). Adaptation and
gain normalization: A comment on Ullman and Schechtman (1982).
Proceedings of the Royal Society of London (B), 219,
471-473. Available in PDF (Gro1983PRSL.pdf)
(45Kb).

Grossberg, S. (1983). The quantized
geometry of visual space: The coherent computation of depth,
form, and lightness. The Behavioral and Brain Sciences,
6, 625-692. Available in PDF (Gro1983BBS.pdf) (21,680Kb).

1982

Grossberg, S. (1982). Associative and
competitive principles of learning and development: The
temporal unfolding and stability of STM and LTM patterns. In
S.I. Amari and M. Arbib (Eds.), Competition and
cooperation in neural networks. New York:
Springer-Verlag, 1982. Available in PDF (Gro1982AmariChapter.pdf)
(8620Kb).

Grossberg, S. (1980). How does a brain
build a cognitive code? Psychological Review, 87,
1-51. Available in PDF (Gro1980PsychRev.pdf)(14,739Kb).

Grossberg, S. (1980). Intracellular
mechanisms of adaptation and self-regulation in
self-organizing networks: The role of chemical transducers. Bulletin
of Mathematical Biology, 42, 365-396.
Available in PDF (Gro1980BMB.pdf)(429Kb).

Grossberg, S. (1975). A neural model of
attention, reinforcement, and discrimination learning. International
Review of Neurobiology, 18, 263-327.
Available in PDF (Gro1975IntRevNeurobiol.pdf)(11,977Kb).

Grossberg, S. (1975). On the development
of feature detectors in the visual cortex with applications to
learning and reaction-diffusion systems. Biological
Cybernetics, 21, 145-159. Available
in PDF (Gro1975BiolCyb.pdf)(1315Kb).

Grossberg, S. and Levine, D. (1975). Some
developmental and attentional biases in the contrast
enhancement and short-term memory of recurrent neural
networks. Journal of Theoretical Biology, 53,
341-380. Available in PDF (GroLev1975JTheorBio.pdf)(1801Kb).

1970

Grossberg, S. (1970). Some networks that
can learn, remember, and reproduce any number of complicated
space-time patterns, II. Studies in Applied Mathematics,
49, 135-166. Available in PDF (Gro1970SiAM.pdf) (7,008Kb).

Grossberg, S. (1969). Learning and
energy-entropy dependence in some nonlinear
functional-differential systems. Bulletin of the American
Mathematical Society, 75, 1238-1242. Available in PDF (Gro1969LearnEner.pdf)
(205Kb).

Grossberg, S. (1969). On learning and
energy-entropy dependence in recurrent and nonrecurrent signed
networks. Journal of Statistical Physics, 1,
319-350. Available in PDF (Gro1969JourStatPhy.pdf)
(4,379Kb).

Grossberg, S. (1969). On learning of
spatiotemporal patterns by networks with ordered sensory and
motor components, I: Excitatory components of the cerebellum.
Studies in Applied Mathematics, 48, 105-132.
Available in PDF (Gro1969StuAppMath.pdf)
(4,100Kb).

Grossberg, S. (1969). On the global
limits and oscillations of a system of nonlinear differential
equations describing a flow of a probabilistic network. Journal
of Differential Equations, 5, 531-563. Available in
PDF (Gro1969JourDiffEqua.pdf)
(1098Kb).

Grossberg, S. (1969). On the production
and release of chemical transmitters and related topics in
cellular control Journal of Theoretical Biology, 22,
325-364. Available in PDF (Gro1969TheoretBiol.pdf)
(1,702Kb).

Grossberg, S. (1969). On the variational
systems of some nonlinear difference-differential equations. Journal
of Differential Equations, 6, 544-577. Available in
PDF (Gro1969OnVarSys.pdf)
(948Kb).

Grossberg, S. (1969). Some networks that
can learn, remember, and reproduce any number of complicated
space-time patterns, I. Journal of Mathematics and
Mechanics, 19, 53-91. Available in PDF (Gro1969JourMathMech.pdf)
(10,497Kb).

Grossberg, S. (1968). Some nonlinear
networks capable of learning a spatial pattern of arbitrary
complexity. Proceedings of the National Academy of
Sciences, 59 , 368-372. Available
in PDF (Gro1968PNAS59.pdf)(752Kb).

Grossberg, S. (1968). Some physiological
and biochemical consequences of psychological postulates. Proceedings
of the National Academy of Sciences, 60,
758-765. Available in PDF (Gro1968PNAS60.pdf)(1605Kb).

1964

Grossberg, S. (1964). The theory of
embedding fields with applications to psychology and
neurophysiology. Rockefeller Institute for Medical Research. (Gro1964EmbeddingFields.pdf)
(17,264 Kb). This is a first-year graduate student paper that
created a foundation for much later work, and that was
distributed to 125 labs of established psychologists and
neuroscientists.